DocumentCode :
3124119
Title :
Random Early Detection Web Servers for Dynamic Load Balancing
Author :
Yang, Chih-Chiang ; Chen, Chien ; Chen, Jing-Ying
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsiu-Chu, Taiwan
fYear :
2009
fDate :
14-16 Dec. 2009
Firstpage :
364
Lastpage :
368
Abstract :
Modern Web-server systems use multiple servers to handle an increased user demand. Such systems need effective methods to spread the load among Web servers evenly in order to keep Web server utilization high while providing sufficient quality of service for end users. In conventional DNS-based load balancing architecture, a domain name server (DNS) dispatches requests to Web servers based on their load status. Because Web servers need to inform the DNS server about their load status from time to time, a so-called load buffer range is often employed to reduce the update frequency. Without care, however, using a load buffer range may result in load oscillation among Web servers. To address this problem, we propose a random early detection (RED) method with the intuition that the probability for a Web server to become overloaded in near future is directly proportional to its current load. Simulation confirms that our method helps reducing the oscillation of the Web server load significantly.
Keywords :
Internet; buffer storage; quality of service; resource allocation; DNS server; Web server; domain name server; dynamic load balancing; load buffer range; load oscillation; quality of service; random early detection; Computer science; Frequency; Load management; Network servers; Quality of service; Round robin; Service oriented architecture; State feedback; Web and internet services; Web server; DNS-based; RED; load buffer range;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Systems, Algorithms, and Networks (ISPAN), 2009 10th International Symposium on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5403-7
Type :
conf
DOI :
10.1109/I-SPAN.2009.44
Filename :
5381868
Link To Document :
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